In this episode the winning Financial Wellness essays in the Workplace Initiatives Category are discussed.


Mike Boot, Managing Director, Sections and Practice Advancement and Joe Wurzburger, Health Staff Fellow provide tips and ideas for moderating a session at an SOA meeting.

Direct download: SOA17_30_PD_01_Tips_for_Moderators.mp3
Category:general -- posted at: 9:07am CDT

During this podcast, Joe Wurzburger interviews Dave Dillon about the Health Section Council’s initiative concerning healthcare reform. They discuss how the SOA is addressing education and research concerning the important issues in the ever changing health insurance landscape.

Direct download: SOA17_21_Health_Commercial_Healthcare_Whats_Next.mp3
Category:Health -- posted at: 11:26am CDT

Listen in as Anders Larson, FSA, MAAA, interviews Shea Parkes, FSA, MAAA, and Michael Niemerg, FSA, MAAA, about artificial neural networks. Artificial neural networks have gone through a recent renaissance as part of deep learning. Artificial neural networks can now provide amazing accuracy, but they come with an equally amazing amount of complexity. This podcast provides a very high-level overview of everything from their history to modern implementations.

Direct download: SOA17_29_PAF_08__Neural_Nets_Renaissance.mp3
Category:Predictive Analytics and Futurism -- posted at: 11:42am CDT

U.S. Public Pension Plan Contribution Indices, 2006–2014 | SOA

This podcast discusses the recent study which explores contribution indices—metrics developed by the SOA that compare pension plan contributions to benchmarks that represent the contribution level needed to pay down unfunded liabilities—for contributions among 160 state and large city public sector pension plans in the United States.

 


Predictive Analytics and Accelerated Underwriting Survey Report | SOA

The Predictive Analytics & Accelerated Underwriting Survey Subcommittee of the Society’s Committee on Life Insurance Mortality and Underwriting Surveys has completed its report on the results of a survey designed to obtain feedback on several current hot topics in the industry, namely predictive analytics, accelerated underwriting and enhanced underwriting. This survey was sent to US and Canadian direct life insurance companies.This pocast discusses the report.

 


This podcast discusses the report which covers US regional population mortality experience during the period 2000-2015. The Society of Actuaries pursued the research as part its ongoing longevity and mortality research initiatives. The purpose of the research is to produce an overview of the differences and similarities in mortality by age group, time, cause of death and region (geographic and urban-rural) to better aid in the understanding of future expected mortality rates and the management of public programs and policy.


This podcast discusses the study sponsored by the Product Development Section, International Section, Smaller Insurance Company Section, and the Committee for Life Insurance Research.  This study examines global product development (PD) practices of life insurance and annuity companies. Performed by LIMRA and RGA, this project consisted of a survey of North American life insurance and annuity companies and examined current insurer PD processes including the evolution of the current strategy; variation of the strategies by company characteristics (e.g., size, life vs. annuity) and region (e.g., United States vs. Canada vs. Other companies); and identified leading PD practices globally. The results of the research can provide the life insurance industry with a resource to help enhance resource management and current processes to better serve the needs of its stakeholders.


This podcast discusses the study, Parameter Uncertainty, sponsored by the Casualty Actuarial Society (CAS), Canadian Institute of Actuaries (CIA), and the Society of Actuaries' (SOA) Joint Risk Management Section and the Joint Risk Management Research Committee. Authored by a Hartman Analytics team of Brian Hartman, Robert Richardson, and Rylan Bateman, the paper provides structures to incorporate parameter uncertainty in quantifying risk and illustrates the application through case studies.

Direct download: Research_Insights-Parameter-Uncertainty.mp3
Category:Research Insights -- posted at: 12:00am CDT

Listen in as Anders Larson, FSA, MAAA, interviews Shea Parkes, FSA, MAAA about Gradient Boosting Machines (GBMs). Although GBMs share many characteristics with Random Forests, they can often provide better performance at the cost of somewhat higher complexity. This discussion covers topics including underlying theory, tuning hyperparameters and modern implementations.

Direct download: SOA17_19_PAF_07_GBMs.mp3
Category:Predictive Analytics and Futurism -- posted at: 10:42am CDT